Download Agent Based Simulation for a Sustainable Society and by Johan Holmgren, Linda Ramstedt, Paul Davidsson, Jan A. PDF

By Johan Holmgren, Linda Ramstedt, Paul Davidsson, Jan A. Persson (auth.), Stephen Cranefield, Insu Song (eds.)

ISBN-10: 3642356117

ISBN-13: 9783642356117

This e-book constitutes the refereed complaints of the 2 workshops held on the 14th foreign convention on rules and perform of Multi-Agent structures, PRIMA 2011, held in Wollongong, Australia, in November. The workshops have been, Workshop on Agent established Simulation for a Sustainable Society (ABSSS 2011) and foreign Workshop on Multi-Agent clever Computing (MASmart 2011). The eight papers provided have been conscientiously reviewed and chosen from a variety of submissions. The papers conceal subject matters from agent established simulation for a sustainable society and on multi-agent shrewdpermanent computing.

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Read or Download Agent Based Simulation for a Sustainable Society and Multi-agent Smart Computing: International Workshops, PRIMA 2011, Wollongong, Australia, November 14, 2011 Revised Selected Papers PDF

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Extra resources for Agent Based Simulation for a Sustainable Society and Multi-agent Smart Computing: International Workshops, PRIMA 2011, Wollongong, Australia, November 14, 2011 Revised Selected Papers

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E. e. 01). 2 Effect of Modifying the Percentage of Agents Influenced For two different values of intervention criteria (65% and 75%), we varied the percentage of agents influenced (IA) by the intervention by 10%, 20% and 50%8 . It can 8 We believe utilitarian agents will start reducing their energy consumption once a price-based incentive measure has been introduced in the system through the meta-norms. The three different percentages reflect the what-if scenarios that we consider in our simulations.

We believe, similar to other domains, similaritybased approaches may become the de-facto model for energy-domains. Applications that provide such a service have started to emerge in the marketplace that provide comparison of energy usages across households9. We believe, using realistic models such as similarity-based approaches may also increase users’ motivation in the uptake of the model which may result in further reduction of energy consumption in households. A limitation of the similarity model presented is that we have only considered one dimension, the number of households, to keep the model simple.

6 0 10 20 30 40 50 Content reproduced Fig. 2. 95. Vertical lines mark the parameter values of the parameter that yielded the best r 2 value. 0 1 2 3 4 1 2 3 4 Position Fig. 3. SC and SI content reproduced in the shared and unshared conditions at different positions in the chain In fact, among these parameters there is none without any hidden units, which suggests a crucial role for hidden units. Figures 3 and 4 show the regression-adjusted results of the best performing parameter plotted onto the results of the experiment of Lyons and Kashima.

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